ArticleJournal of neurophysiology2013
Predicting spike timing in highly synchronous auditory neurons at different sound levels.
Article in Journal of neurophysiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Neuronal population model of globular bushy cells covering unit-to-unit variability.PLoS computational biology · 2019Article
- Spike threshold adaptation diversifies neuronal operating modes in the auditory brain stem.Journal of neurophysiology · 2019Article
- A biophysical modelling platform of the cochlear nucleus and other auditory circuits: From channels to networks.Hearing research · 2018Article
- Physiological models of the lateral superior olive.PLoS computational biology · 2017Article
- Tonotopic Optimization for Temporal Processing in the Cochlear Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Spike timing precision changes with spike rate adaptation in the owl's auditory space map.Journal of neurophysiology · 2015Article
- Reverse correlation analysis of auditory-nerve fiber responses to broadband noise in a bird, the barn owl.Journal of the Association for Research in Otolaryngology : JARO · 2015Article
- Biophysical Insights into How Spike Threshold Depends on the Rate of Membrane Potential Depolarization in Type I and Type II Neurons.PloS one · 2015Article
- Inhibitory properties underlying non-monotonic input-output relationship in low-frequency spherical bushy neurons of the gerbil.Frontiers in neural circuits · 2015Article
- Emergence of band-pass filtering through adaptive spiking in the owl's cochlear nucleus.Journal of neurophysiology · 2014Article
- Spike-threshold adaptation predicted by membrane potential dynamics in vivo.PLoS computational biology · 2014Article
- Article
- Benefits of Enhanced Phase-Locking for Binaural Coding of Amplitude-Modulated Sounds.Trends in hearingArticle
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A challenge for sensory systems is to encode natural signals that vary in amplitude by orders of magnitude. The spike trains of neurons in the auditory system must represent the fine temporal structure of sounds despite a tremendous variation in sound level in natural environments. It has been shown in vitro that the transformation from dynamic signals into precise spike trains can be accurately captured by simple integrate-and-fire models. In this work, we show that the in vivo responses of cochlear nucleus bushy cells to sounds across a wide range of levels can be precisely predicted by deterministic integrate-and-fire models with adaptive spike threshold. Our model can predict both the spike timings and the firing rate in response to novel sounds, across a large input level range. A noisy version of the model accounts for the statistical structure of spike trains, including the reliability and temporal precision of responses. Spike threshold adaptation was critical to ensure that predictions remain accurate at different levels. These results confirm that simple integrate-and-fire models provide an accurate phenomenological account of spike train statistics and emphasize the functional relevance of spike threshold adaptation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.